MSc in Quantum and Computational Physics

Physics Department

Quantum and Computational Physics (MSc)

Key Feature

Code PX401

Taught Modules 8
Dissertation 30 ECTS-aligned

Duration 12 months

Programme
commencement 30 September 2026

Study Mode Fully Online

Credits 90 ECTS-aligned

Tuition Fees €5,500

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Overview
The MSc in Quantum and Computational Physics is designed for students who want to develop advanced knowledge of modern physics with a strong focus on quantum theory, computational methods, numerical modelling, and simulation.

The programme combines core postgraduate physics training with specialist optional modules in quantum many-body physics, quantum simulation, quantum information, machine learning for physics, data acquisition, FPGA applications, nanophotonics, plasmonics, and quantum materials.

Students complete taught modules and a supervised dissertation project in quantum and computational physics, normally based on theory, numerical modelling, simulation, or research analysis.

Objectives
The programme aims to:

1. Provide advanced knowledge of quantum mechanics and mathematical methods used in modern physics.
2. Develop students’ ability to use computational and numerical techniques to study physical systems.
3. Introduce key areas of quantum and computational physics, including quantum simulation, many-body systems, and quantum information.
4. Build practical understanding of modern tools used in physics, including modelling, simulation, machine learning, and data acquisition.
5. Prepare students for research, further postgraduate study, or technical roles in physics-related areas.
6. Develop independent research skills through a supervised dissertation project.

Learning Outcomes
By the end of the programme, students will be able to:

Apply advanced quantum mechanics and mathematical methods to physical problems.
Use computational techniques to model and analyse quantum and physical systems.
Explain core concepts in quantum simulation, many-body physics, and quantum information.
Evaluate numerical methods and select suitable approaches for solving physics problems.
Interpret and communicate scientific results clearly in written and oral form.
Use modern computational tools for modelling, simulation, data analysis, or research-based investigation.
Critically review scientific literature and place their work within the wider context of current physics research.
Complete a supervised independent project in quantum and computational physics.

Code	Core	ECTS-aligned
PHYS5001	Advanced Quantum Mechanics	7.5
PHYS5002	Computational Physics	7.5
PHYS5003	Mathematical Methods for Physicists	7.5
PHYS5004	Research Methods and Scientific Communication	7.5

Code	Optional (choose any 4):	ECTS-aligned
PHYS5005	Numerical Methods for Quantum Systems	7.5
PHYS5006	Quantum Many-Body Physics	7.5
PHYS5007	Quantum Simulation	7.5
PHYS5008	Quantum Information and Quantum Computing	7.5
PHYS5009	Machine Learning and Data-Driven Modelling in Physics	7.5
PHYS5010	Data Acquisition and FPGA for Physicists	7.5
PHYS5011	Nanophotonics and Plasmonics	7.5
PHYS5012	Quantum Materials and Nanostructures	7.5

Code	Dissertation	ECTS-aligned
PHYS5013	Quantum and Computational Physics Research Project	30

Entry Requirements
• Bachelor’s degree in Physics, Electrical Engineering, Mathematics, or closely related field.
• Background in linear algebra, calculus, and basic Python (2-week bootcamp included).
• RPL/RPEL considered for strong industry experience.
• English language: GCSE English Language grade 4/C, IB English grade 4 at Higher Level, or IELTS 6.0 overall with no component below 5.5. Equivalent evidence of prior English-medium study or professional use of English may be considered by the Admissions Committee.
• No specialist hardware is required. Optional FPGA and measurement kits may be used in selected modules, while equivalent software-based learning pathways are provided.

Inspire your future

Study from any place Worldwide

No limits in education

Straightforward way of teaching

Quantum Photonic Chip for Navigation

Quantum photonic chip uses laser sources and silicon waveguides for ultra-precise motion sensing, enabling GPS-free navigation (developed by Sandia National Laboratories).

Way of study

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